100 application-forms "https:" "https:" "https:" Postdoctoral positions at NEW YORK UNIVERSITY ABU DHABI
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Researcher (R3) Country United Arab Emirates Application Deadline 25 Jan 2026 - 00:00 (UTC) Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not
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Emirates Application Deadline 25 Jan 2026 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
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Description The Social Science Experimental Laboratory (SSEL) at New York University Abu Dhabi invites applications for a Post-doctoral Researcher position. We seek an ambitious, well-trained, and
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competitive and include housing and educational subsidies for children. Applications will be accepted immediately and candidates will be considered until the position is filled. About NYU Abu Dhabi https
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Description We are inviting applications for a Post-Doctoral Associate in the Division of Social Science at NYU Abu Dhabi from individuals who have or will soon receive a PhD in demography
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Description We are inviting applications for a Postdoctoral Associate in the Division of Social Science at NYU Abu Dhabi from individuals who have or will soon receive a PhD in Economics focusing
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) Country United Arab Emirates Application Deadline 25 Jan 2026 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU
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-class seminar series. The Center also hosts numerous workshops, conferences, and other academic events that foster collaboration, idea exchange, and visibility, providing an exceptional platform
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, characterization, and applications of sustainable construction materials derived from desalination waste. This exciting research will combine innovations in brine-to-cement technologies with advances in low-carbon
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particular focus on applications relevant to the Arab world. The successful applicant will join a multidisciplinary research team working at the intersection of machine learning, algorithmic fairness, human